Dual Air-Conditioner Optimization : Intelligent Power Management Via Microcontroller
R. Thangasankaran,
No information about this author
S Parthasarathy,
No information about this author
Rajeev Krishna
No information about this author
et al.
International Journal of Scientific Research in Science Engineering and Technology,
Journal Year:
2025,
Volume and Issue:
12(1), P. 261 - 266
Published: Feb. 20, 2025
This
proposed
paper
presents
an
innovative
IoT-based
solution
for
automating
dual
air
conditioner
operation,
leveraging
ESP32
microcontrollers,
temperature
sensors,
and
Wi-Fi
communication.
The
system
continuously
monitors
room
automatically
switches
the
on
or
off
based
predefined
thresholds.
real-time
monitoring
automation
enhance
comfort,
save
energy,
increase
reliability,
reduce
maintenance.
optimizes
AC
detects
anomalies,
prevents
power
overloads,
making
it
efficient
safe
units.
By
employing
inrush
current
testing,
can
accurately
detect
anomalies
prevent
enhancing
both
safety
energy
efficiency.
is
a
compact,
low-cost,
user-friendly
that
be
easily
integrated
into
existing
conditioning
systems.
project
demonstrates
potential
of
IoT
technology
in
improving
efficiency
various
applications.
system's
effectiveness
validated
through
experimental
results,
which
show
significant
savings
improved
reliability.
project's
findings
have
important
implications
development
smart
buildings
cities.
Language: Английский
Real-time monitoring system for blood pressure monitoring based on internet of things
Indonesian Journal of Electrical Engineering and Computer Science,
Journal Year:
2024,
Volume and Issue:
35(1), P. 62 - 62
Published: May 6, 2024
Blood
pressure
is
an
important
cardiovascular
health
indicator,
with
normal
values
set
by
the
WHO
at
140
mmHg
for
systole
and
90
diastole.
Excess
of
these
indicates
hypertension,
which
increases
risk
serious
medical
complications.
This
research
developed
internet
things
(IoT)-based
blood
monitoring
device,
facilitates
digital
measurement
data
transmission
to
widely
accessible
applications
websites.
The
device
uses
MPX5050GP
sensor,
Arduino
Nano,
NodeMCU
ESP32,
as
well
other
components
programmed
using
IDE.
Test
results
obtained
from
10
subjects,
showed
average
difference
in
7.9
diastole
5.4
mmHg.
complies
recognized
accuracy
standards
a
maximum
error
that
operates
effectively
designed
concept.
Language: Английский
Design of Incu Analyzer for IoT-Based Baby Incubator Calibration
Jurnal Teknokes,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: March 19, 2024
An
incubator
analyzer,
serving
as
a
calibration
tool,
is
utilized
to
measure
diverse
parameters
such
temperature,
mattress
humidity,
airflow,
and
noise
in
infant
incubators.
The
present
study
focuses
on
the
development
of
Design
Incubator
Analyzer
for
IoT
(Mattress
Temperature
Humidity)
with
LCD
ThingSpeak
display,
specifically
designed
calibrating
baby
primary
objective
design
develop
an
device
assessing
various
incubators,
encompassing
noise.
this
incorporates
Thermocouple
Type-K
sensor
temperature
parameters,
DHT22
humidity
ESP32
microcontroller.
processes
data
from
sensors
generate
values
(TM)
(RH),
which
are
then
displayed
displays.
underwent
rigorous
testing
against
established
measuring
device,
INCU
II.
In
study,
TM
parameter
or
exhibited
smallest
error
-0.0140%
at
35°C
largest
0.0584%
36°C.
Concerning
parameter,
was
0.0570%
32°C,
while
0.0207%
35°C.
Overall,
IoT-Based
Baby
Calibration
IoT-based
Analyzer,
demonstrates
potential
usability
following
planning
execution
phases,
including
thorough
review
existing
literature.
To
enhance
user
experience
during
process,
system
developed
transmission
over
Wi-Fi,
presenting
results
platform
real-time
Language: Английский